This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
More than two-thirds of competitive intelligence professionals say their in-house team is responsible for win/loss analysis. That’s a lot of ground to cover between the hours of 9am and 5pm—which is why simple win/loss analysis templates can be tremendously helpful. A template for segmenting lost deal rationale. Let’s get started.
Win/loss analysis is an essential practice for anyone who wants to better understand their competitive landscape and continuously optimize processes across sales, marketing, product management, and beyond. By the time you’re done reading, you’ll have an answer to each of the following: What is win/loss analysis? Let’s jump in!
Win/loss analysis—the process of determining why deals are won or lost—yields insights that practically everyone across your organization can use to their advantage. Sales reps get insights that they can use to improve their objection-handling tactics. Marketers get insights that they can use to optimize their messaging.
Data theft leads to financial losses, reputational damage, and more. And with powerful AI techniques that extract deep details from stolen datasets, even small data losses can have seismic impacts. Human error in data loss Human error remains a critical weak link in d a ta loss.
There was a survey done by DataRobot in 2022, and algorithmic bias actually caused a loss in revenue of 62%, and a 61% loss in customers. There was a 43% loss in employees, not to mention the legal fees. There are business implications. People want to know that the things that are being built are being built well.
Data loss is a serious problem for many businesses. An estimated 94% do not survive a catastrophic data loss. Data loss prevention (DLP) strives to protect your business data from inside or outside compromise. This includes data leakage, data loss , misuse of data, or data compromised by unauthorized parties.
Downtime and data loss are common – and expensive. The cost of downtime and data loss. Financial losses represent only part of the problem. Data loss, productivity, and brand reputation are also at stake. Data loss, productivity, and brand reputation are also at stake.
It's Monday morning. You haven’t even taken the first sip of your coffee. You touch your right index finger to the magical biometric scanner thing on your MacBook. Your company-approved desktop wallpaper comes alive with apps.
For the first installment of our new Win/Loss Wednesdays series , we had the pleasure of chatting with Jayde Phillips , who manages market and competitive intelligence at Egencia, an American Express Global Business Travel company.
million) in revenue loss. It has reduced impacts to downstream processes like billing and payment communications by 80%, realized a 95% reduction in customer complaint tickets, and prevented €5 million per day ($4.87
For the second installment of our new Win/Loss Wednesdays series , we had the pleasure of chatting with Scott Frost , who’s led competitive intelligence at Stripe, Adobe, and New Relic.
For the third installment of our new Win/Loss Wednesdays series , we had the pleasure of chatting with Brad Rosen , President at Sales Assembly, and Nick Siddoway , President & CEO at TruVoice from Corporate Visions.
Initiatives like the UN’s AI for Good , which leverages AI to tackle pressing global challenges such as climate change and biodiversity loss, further demonstrate AI’s potential to revolutionize environmental sustainability.
When your win/loss data is disconnected from your competitive intelligence tool, trying to understand your differentiators is like trying to appreciate the Mona Lisa from a mere 6 inches away — you kind of get it, but it’s nowhere close to the experience of seeing the full picture (or painting in this case).
Launching several pilots in a short time not only can cost a lot of money but also often leads to a loss of employee productivity , as they struggle to learn how to use the new technology.
Safety The loss value of the industrys costliest incidents has hit the lowest average amount for any two-year period in the last 25 years. [1] 1] Marsh, 100 largest losses in the hydrocarbon industry, 2022 [2] International Energy Association, Electricity 2024
They must prevent issues like data corruption, duplication, or loss. Modern data architectures must ensure data remains accurate, consistent, and unaltered through its lifecycle to preserve its reliability for analysis and decision-making. Modern data architectures should also adhere to the following best practices: Align with business needs.
The hypercompetitive New York Yankees owner George Steinbrenner said it best: “Winning is the most important thing in my life, after breathing. Breathing first, winning next.”.
Parametrix, known for its cloud monitoring and insurance solutions, has pegged the total loss for the 25% of Fortune 500 companies affected (excluding Microsoft) at a staggering $5.4 Costs most likely come from loss of trading due to unavailability of systems,” said Duncan Brown, group vice president, research at IDC said.
Yet, one missed configuration-based vulnerability or data loss during a migration can be catastrophic. Balancing modernization in a complex regulatory landscape Modernization is essential, and organizations that put off doing so risk getting left behind.
The ailing French IT services provider recorded an operating loss of €1.7 billion)in the first six months of the year, compared to a loss of €434 million a year earlier; Its net loss for the half-year was €1.91 Atos, struggling to restructure its business operations, has presented its financials for the first half of 2024.
In the wake of the widespread outage caused by a defective update to CrowdStrike’s Falcon cybersecurity platform, Delta Airlines is among the first enterprises to come forward to demand compensation from CrowdStrike and Microsoft for the enormous losses caused by the interruption of its flights during the failure.
This thorough approach helps ensure data integrity and reduces the risk of loss or corruption during migration. The streamlined process also reduces downtime for critical systems by 20%, minimizing revenue loss. The big migration payoff DataLark’s results are nothing short of impressive.
But major retailers like Walmart, Target, and Dollar General are starting to phase out self-check in some locations because they’ve contributed to higher rates of shoplifting and inventory loss. In an industry that saw inventory management related losses estimated at $94.5 But is this the beginning of the end for self-checkouts?
The consequences can vary, from interruptions in manufacturing that can directly affect the supply of the product, to the loss of data or the need to migrate to new platforms, which generates additional costs, or causes damage to the corporate image,” says Raquel García, IT manager at science and technology company Merck.
The same report illuminates the value of a robust cybersecurity staff, showing a majority of those breached were short-staffed in cybersecurity, and experienced an average loss of $1.76 The average cost of a data breach ballooned to $4.88 million dollars in 2023, a 10% spike over the previous year, according to a recent IBM report.
Within the platform, Careem uses Zscaler Data Loss Prevention and cloud access security broker (CASB) to block risky cloud applications and control high-value data across TLS/SSL. It results in loss of productivity due to latency and exposes the network, devices, and users to potential risk.
Preventing data loss will be a key factor in embracing generative AI. Enterprises will likely gravitate to data loss prevention (DLP) technologies that allow them to create policies preventing the leakage of sensitive data like source code, structured data like credit card information, and PII.
But 45% also said they feared that AI will make their work less relevant to their employers, and 43% said they fear the loss of their jobs due to AI. Nearly three-quarters of employees surveyed said they believe AI devices will make them more productive.
This influx of vulnerable browsers and applications can have severe consequences for enterprises, including data breaches, financial losses, and reputational damage. Data breaches can even lead to regulatory penalties, loss of customer trust, and significant financial costs associated with remediation and recovery efforts.
G oogle continues to invest heavily in cloud Though revenue was up, Google Cloud losses expanded in the quarter on a year-on-year basis to $699 million compared with $644 million last year as the company continued to expand its global footprint by investing in new data centers and server equipment.
If you look at the severity of losses over the past 10 years, one of the trends is that losses in the last five years are almost twice as much as those in the first five,” says Anil Vasagiri, SVP and head of property solutions at Swiss Re. “If This can even identify damage insurers weren’t aware of if no loss notice was filed.
By using simple Monte Carlo simulations and data gathered from your enterprise you can give senior staff members an actual probability of loss, potential occurrence, and impact.” Are we achieving maximum ROI on our security investments? What is the true extent of our financial exposure? IT Strategy, Security
That wasn’t enough to get it back into the black, though, and its net loss in the first half of the year grew to €1.91 billion), compared to a loss of €600 million a year earlier. After a troubled year and a series of new CEOs, Atos seemed to have pulled a rabbit out of the hat in July, when it locked in a $1.8 billion (about $2.1
And more specifically, what can CIOs, CISOs and other IT leaders do to make certain they are doing everything possible to prevent the loss of payment card data – an event that creates a worrisome inconvenience for customers and loss of trust among consumers? includes substantial updates and many new requirements.
The company said Own’s offerings will enable it to offer a more comprehensive set of data protection and loss prevention products. Salesforce plans to complement its existing offerings — including Salesforce Backup, Shield, and Data Mask — with Own’s capabilities.
RFID tags combined with GenAI can be used for inventory tracking, loss prevention, and stocking. Combining convenience with loss prevention Surveys show that 40-60% of shoppers prefer self-checkout, 4 but many chains have reduced self-checkout due to losses being more than 16 times higher than with human cashiers.
Despite the revenue gains, Salesforce posted a fourth-quarter loss of $98 million, compared with a loss of $28 million in the same quarter last year, due mainly to restructuring costs that included layoff-related expenses. The results helped boost Salesforce’s total revenue for financial year 2023 to $31.4
Such information is openly traded in the black market leading to a huge loss of profit. Therefore, loss of data due to a cyber-attack would mean that your company does not value its consumers’ privacy and does not implement the necessary steps to ensure data protection. A leak of such data could result in irreparable losses.
Data loss or corruption can have severe consequences, disrupting business operations, compromising valuable insights, and potentially leading to financial losses or reputational damage. In a world increasingly reliant on data analytics for decision-making and strategic planning, the importance of data recovery cannot be overstated.
fraud losses amounted to $5.9 By missing important correlations, analysts or automated systems may not spot illegal activity soon enough to prevent a loss. Every new portal and mobile app expand the attack surface and give hackers new opportunities to exploit vulnerabilities. The stakes for financial organizations are growing as well.
Sensormatic tackles loss prevention CIOs will be more used to preventing data loss, but Sensormatic wants to get them involved in preventing shrinkage, or inventory loss, often through theft.
We organize all of the trending information in your field so you don't have to. Join 11,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content